Use this view to inspect the underlying evidence corpus. For ranked developments, decision posture and interpretation, use Signals.
Raw feed or Signals?
Raw feed is chronological evidence. Signals ranks and interprets material change.
Researchers propose HindsightBench, a black-box audit protocol to detect parametric hindsight (leakage of future knowledge) in LLMs used for time-indexed decision tasks.
FlashRT is a research project exploring an agent-based harness to optimize deployment of real-time multimodal AI applications by managing model placement and parallelism.
Research introduces "Exact Network Surgery," a method to insert residual blocks into live neural networks while preserving function bit-exactly.
New research introduces LogicIFGen and LogicIFEval to assess LLM performance on complex, logic-rich instruction following, identifying current limitations.
ReMIND proposes a four-stage modular LLM framework to generate novel and coherent ideas, balancing originality with consistency.
Research proposes a dependency-aware autoscaling framework for serverless environments, integrating forecasting, multi-model consensus, and cost control.
Research explores how pretraining choices (model size, data) affect the effectiveness of RL post-training for LLM reasoning capabilities.
Research proposes Malleable Prompting, an interactive technique converting natural language prompt preferences into GUI widgets for controllable LLM generation.
Research identifies two confounds—response determinism and access harness—in cross-model value comparisons, proposing a new separation protocol.
New research proposes a modular LLM post-training method using proxy-guided update signals to enable reusable and transferable optimization.
Research establishes new theoretical bounds for minimum block width in residual neural networks with inner width one, improving universal approximation.
Research proposes EHR-MPC, a framework using generative patient digital twins for adaptive, inference-time controlled sepsis treatment, decoupling learning from optimization.
Research explores using LLM reasoning traces to predict human item difficulty in educational assessments, focusing on cognitive processes.
Research introduces 'source-modality monitoring' in multimodal models, evaluating their ability to track input origin for information binding.
New research proposes a computationally efficient method for membership inference attacks (MIAs) on Diffusion Models (DMs) by analyzing predicted noise vectors.
Research paper reviews State Space Models (SSMs), including Mamba, highlighting their linear scaling, long-range dependency capabilities, and efficiency.
Research finds multimodal LLMs underperform on visual tasks, with text centroid structure more critical than visual for accuracy across models.
Research proposes an Item Response Theory (IRT) framework for extensible LLM benchmarking, calibrating new benchmarks to existing suites using anchor items.
FinTrace benchmark introduces trajectory-level evaluation for LLM tool-calling in long-horizon financial tasks, addressing limitations of call-level metrics.
Research paper explores credit assignment in RL for LLMs, addressing challenges in distributing rewards across long reasoning chains and multi-turn agentic actions.
Research proposes a statistical framework to audit hidden behavioral dependencies (latent entanglement) between LLMs, impacting multi-model systems.
OpenAI expanded its Daybreak cybersecurity initiative and introduced a specialized cyber-trained AI model for defensive operations.
Databricks outlines architecture patterns for grounding AI agents across structured and unstructured data while enforcing access governance.
OpenAI's head of ethics Chloé Bakalar departs the company within a year amid reported safety concerns and executive churn.
Apollo, Blackstone, and Goldman Sachs are partnering with Nvidia to structure $500bn in capital financing for data center expansion.
Nvidia partnered with Apollo, BlackRock, Blackstone, and others to mobilize over $500B in third-party capital for AI infrastructure.
Cloudflare summarized its Agents Week releases, introducing edge-based agentic infrastructure, developer tools, and agent payment concepts.
Nvidia partners with Apollo, Blackstone, BlackRock, and Brookfield to assemble a $500 billion AI infrastructure financing pipeline.
Meta released Muse Glimmer, a 30B open-weight model with a 120k context window optimized for local agentic workflows on NVIDIA hardware.
An analysis of the systemic market leverage and capital concentration held by dominant AI cloud hyperscalers over enterprise buyers.
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